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Awesome-LLM

by Hannibal046

awesome listpushed almost 2 years ago

Awesome-LLM: a curated list of Large Language Model

AI summary

LLM resources

A curated collection of papers, frameworks, and resources for training and deploying large language models.

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What's in the list

301 links in 34 sections, with live GitHub stats.activeno commit in 2y

  • Deep-Live-Cam

    real time face swap and one-click video deepfake with only a single image (uncensored)

  • MiniCPM-V 2.6

    A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  • GPT-SoVITS

    1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

Milestone Papers

LLM Leaderboard

  • Chatbot Arena Leaderboard

    a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner

  • Open LLM Leaderboard

    aims to track, rank, and evaluate LLMs and chatbots as they are released

  • ACLUE

    an evaluation benchmark focused on ancient Chinese language comprehension

  • AlpacaEval

    An Automatic Evaluator for Instruction-following Language Models using Nous benchmark suite

  • BeHonest

    A pioneering benchmark specifically designed to assess honesty in LLMs comprehensively

  • Berkeley Function-Calling Leaderboard

    evaluates LLM's ability to call external functions/tools

  • Chinese Large Model Leaderboard

    an expert-driven benchmark for Chineses LLMs

  • CompassRank

    CompassRank is dedicated to exploring the most advanced language and visual models, offering a comprehensive, objective, and neutral evaluation reference for the industry and research

  • CompMix

    a benchmark evaluating QA methods that operate over a mixture of heterogeneous input sources (KB, text, tables, infoboxes)

  • DreamBench++

    a benchmark for evaluating the performance of large language models (LLMs) in various tasks related to both textual and visual imagination

  • FELM

    a meta-benchmark that evaluates how well factuality evaluators assess the outputs of large language models (LLMs)

  • InfiBench

    a benchmark designed to evaluate large language models (LLMs) specifically in their ability to answer real-world coding-related questions

  • LawBench

    a benchmark designed to evaluate large language models in the legal domain

  • LLMEval

    focuses on understanding how these models perform in various scenarios and analyzing results from an interpretability perspective

  • M3CoT

    a benchmark that evaluates large language models on a variety of multimodal reasoning tasks, including language, natural and social sciences, physical and social commonsense, temporal reasoning, algebra, and geometry

  • MathEval

    a comprehensive benchmarking platform designed to evaluate large models' mathematical abilities across 20 fields and nearly 30,000 math problems

  • MixEval

    a ground-truth-based dynamic benchmark derived from off-the-shelf benchmark mixtures, which evaluates LLMs with a highly capable model ranking (i.e., 0.96 correlation with Chatbot Arena) while running locally and quickly (6% the time and cost of running MMLU)

  • MMedBench

    a benchmark that evaluates large language models' ability to answer medical questions across multiple languages

  • MMToM-QA

    a multimodal question-answering benchmark designed to evaluate AI models' cognitive ability to understand human beliefs and goals

  • OlympicArena

    a benchmark for evaluating AI models across multiple academic disciplines like math, physics, chemistry, biology, and more

  • PubMedQA

    a biomedical question-answering benchmark designed for answering research-related questions using PubMed abstracts

  • SciBench

    benchmark designed to evaluate large language models (LLMs) on solving complex, college-level scientific problems from domains like chemistry, physics, and mathematics

  • SuperBench

    a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization

  • SuperLim

    a Swedish language understanding benchmark that evaluates natural language processing (NLP) models on various tasks such as argumentation analysis, semantic similarity, and textual entailment

  • TAT-DQA

    a large-scale Document Visual Question Answering (VQA) dataset designed for complex document understanding, particularly in financial reports

  • TAT-QA

    a large-scale question-answering benchmark focused on real-world financial data, integrating both tabular and textual information

  • VisualWebArena

    a benchmark designed to assess the performance of multimodal web agents on realistic visually grounded tasks

  • We-Math

    a benchmark that evaluates large multimodal models (LMMs) on their ability to perform human-like mathematical reasoning

  • WHOOPS!

    a benchmark dataset testing AI's ability to reason about visual commonsense through images that defy normal expectations

Open LLM / Meta

Open LLM / Mistral AI

Open LLM / Google

Open LLM / Apple

Open LLM / Microsoft

Open LLM / AllenAI

Open LLM / xAI

Open LLM / Cohere

Open LLM / DeepSeek

Open LLM / Alibaba

Open LLM / 01-ai

Open LLM / Baichuan

Open LLM / Nvidia

Open LLM / BLOOM

Open LLM / Zhipu AI

Open LLM / OpenBMB

Open LLM / RWKV Foundation

Open LLM / ElutherAI

Open LLM / Stability AI

Open LLM / BigCode

Open LLM / DataBricks

Open LLM / Shanghai AI Laboratory

LLM Data

  • IBM data-prep-kit

    Open-Source Toolkit for Efficient Unstructured Data Processing with Pre-built Modules and Local to Cluster Scalability

LLM Evaluation:

  • lm-evaluation-harness

    A framework for few-shot evaluation of language models

  • MixEval

    A reliable click-and-go evaluation suite compatible with both open-source and proprietary models, supporting MixEval and other benchmarks

  • lighteval

    a lightweight LLM evaluation suite that Hugging Face has been using internally

  • OLMO-eval

    a repository for evaluating open language models

  • instruct-eval

    This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks

  • simple-evals

    Eval tools by OpenAI

  • Giskard

    Testing & evaluation library for LLM applications, in particular RAGs

  • LangSmith

    a unified platform from LangChain framework for: evaluation, collaboration HITL (Human In The Loop), logging and monitoring LLM applications

  • Ragas

    a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines

LLM Training Frameworks

  • DeepSpeed

    DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

  • Megatron-DeepSpeed

    DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others

  • torchtune

    A Native-PyTorch Library for LLM Fine-tuning

  • torchtitan

    A native PyTorch Library for large model training

  • NeMo Framework

    Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains

  • Megatron-LM

    Ongoing research training transformer models at scale

  • Colossal-AI

    Making large AI models cheaper, faster, and more accessible

  • BMTrain

    Efficient Training for Big Models

  • Mesh Tensorflow

    Mesh TensorFlow: Model Parallelism Made Easier

  • maxtext

    A simple, performant and scalable Jax LLM!

  • GPT-NeoX

    An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library

LLM Deployment

  • SGLang

    SGLang is a fast serving framework for large language models and vision language models

  • vLLM

    A high-throughput and memory-efficient inference and serving engine for LLMs

  • TGI

    a toolkit for deploying and serving Large Language Models (LLMs)

  • exllama

    A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights

  • llama.cpp

    LLM inference in C/C++

  • ollama

    Get up and running with Llama 3, Mistral, Gemma, and other large language models

  • Langfuse

    Open Source LLM Engineering Platform 🪢 Tracing, Evaluations, Prompt Management, Evaluations and Playground

  • FastChat

    A distributed multi-model LLM serving system with web UI and OpenAI-compatible RESTful APIs

  • mistral.rs

    Blazingly fast LLM inference

  • MindSQL

    A python package for Txt-to-SQL with self hosting functionalities and RESTful APIs compatible with proprietary as well as open source LLM

  • SkyPilot

    Run LLMs and batch jobs on any cloud. Get maximum cost savings, highest GPU availability, and managed execution -- all with a simple interface

  • Haystack

    an open-source NLP framework that allows you to use LLMs and transformer-based models from Hugging Face, OpenAI and Cohere to interact with your own data

  • Sidekick

    Data integration platform for LLMs

  • QA-Pilot

    An interactive chat project that leverages Ollama/OpenAI/MistralAI LLMs for rapid understanding and navigation of GitHub code repository or compressed file resources

  • Shell-Pilot

    Interact with LLM using Ollama models(or openAI, mistralAI)via pure shell scripts on your Linux(or MacOS) system, enhancing intelligent system management without any dependencies

  • LangChain

    Building applications with LLMs through composability

  • Floom

    AI gateway and marketplace for developers, enables streamlined integration of AI features into products

  • Swiss Army Llama

    Comprehensive set of tools for working with local LLMs for various tasks

  • LiteChain

    Lightweight alternative to LangChain for composing LLMs

  • magentic

    Seamlessly integrate LLMs as Python functions

  • wechat-chatgpt

    Use ChatGPT On Wechat via wechaty

  • promptfoo

    Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality

  • Agenta

    Easily build, version, evaluate and deploy your LLM-powered apps

  • Serge

    a chat interface crafted with llama.cpp for running Alpaca models. No API keys, entirely self-hosted!

  • Langroid

    Harness LLMs with Multi-Agent Programming

  • Embedchain

    Framework to create ChatGPT like bots over your dataset

  • Opik

    Confidently evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle

  • IntelliServer

    simplifies the evaluation of LLMs by providing a unified microservice to access and test multiple AI models

  • OpenLLM

    Fine-tune, serve, deploy, and monitor any open-source LLMs in production. Used in production at for LLMs-based applications

  • DeepSpeed-Mii

    MII makes low-latency and high-throughput inference, similar to vLLM powered by DeepSpeed

  • Text-Embeddings-Inference

    Inference for text-embeddings in Rust, HFOIL Licence

  • Infinity

    Inference for text-embeddings in Python

  • TensorRT-LLM

    Nvidia Framework for LLM Inference

  • FasterTransformer

    NVIDIA Framework for LLM Inference(Transitioned to TensorRT-LLM)

  • Flash-Attention

    A method designed to enhance the efficiency of Transformer models

  • Langchain-Chatchat

    Formerly langchain-ChatGLM, local knowledge based LLM (like ChatGLM) QA app with langchain

  • Search with Lepton

    Build your own conversational search engine using less than 500 lines of code by

  • Robocorp

    Create, deploy and operate Actions using Python anywhere to enhance your AI agents and assistants. Batteries included with an extensive set of libraries, helpers and logging

  • LMDeploy

    A high-throughput and low-latency inference and serving framework for LLMs and VLs

  • Tune Studio

    Playground for devs to finetune & deploy LLMs

  • LLocalSearch

    Locally running websearch using LLM chains

  • AI Gateway

    — Gateway streamlines requests to 100+ open & closed source models with a unified API. It is also production-ready with support for caching, fallbacks, retries, timeouts, loadbalancing, and can be edge-deployed for minimum latency

  • talkd.ai dialog

    Simple API for deploying any RAG or LLM that you want adding plugins

  • Wllama

    WebAssembly binding for llama.cpp - Enabling in-browser LLM inference

  • GPUStack

    An open-source GPU cluster manager for running LLMs

  • MNN-LLM

    -- A Device-Inference framework, including LLM Inference on device(Mobile Phone/PC/IOT)

  • CAMEL

    First LLM Multi-agent framework

LLM Applications

  • AdalFlow

    AdalFlow: The library to build&auto-optimize LLM applications

  • dspy

    DSPy: The framework for programming—not prompting—foundation models

  • MLflow

    MLflow: An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing

  • YiVal

    — Evaluate and Evolve: YiVal is an open-source GenAI-Ops tool for tuning and evaluating prompts, configurations, and model parameters using customizable datasets, evaluation methods, and improvement strategies

  • Guidance

    — A handy looking Python library from Microsoft that uses Handlebars templating to interleave generation, prompting, and logical control

  • LangChain

    — A popular Python/JavaScript library for chaining sequences of language model prompts

  • Evidently

    — An open-source framework to evaluate, test and monitor ML and LLM-powered systems

  • FLAML (A Fast Library for Automated Machine Learning & Tuning)

    : A Python library for automating selection of models, hyperparameters, and other tunable choices

  • Chainlit

    — A Python library for making chatbot interfaces

  • Guardrails.ai

    — A Python library for validating outputs and retrying failures. Still in alpha, so expect sharp edges and bugs

  • Semantic Kernel

    — A Python/C#/Java library from Microsoft that supports prompt templating, function chaining, vectorized memory, and intelligent planning

  • Prompttools

    — Open-source Python tools for testing and evaluating models, vector DBs, and prompts

  • Outlines

    — A Python library that provides a domain-specific language to simplify prompting and constrain generation

  • Promptify

    — A small Python library for using language models to perform NLP tasks

  • Scale Spellbook

    — A paid product for building, comparing, and shipping language model apps

  • PromptPerfect

    — A paid product for testing and improving prompts

  • Weights & Biases

    — A paid product for tracking model training and prompt engineering experiments

  • OpenAI Evals

    — An open-source library for evaluating task performance of language models and prompts

  • LlamaIndex

    — A Python library for augmenting LLM apps with data

  • Arthur Shield

    — A paid product for detecting toxicity, hallucination, prompt injection, etc

  • LMQL

    — A programming language for LLM interaction with support for typed prompting, control flow, constraints, and tools

  • ModelFusion

    A TypeScript library for building apps with LLMs and other ML models (speech-to-text, text-to-speech, image generation)

  • Flappy

    — Production-Ready LLM Agent SDK for Every Developer

  • GPTRouter

    GPTRouter is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming. Stay operational even when OpenAI is down

  • QAnything

    A local knowledge base question-answering system designed to support a wide range of file formats and databases

  • OneKE

    — A bilingual Chinese-English knowledge extraction model with knowledge graphs and natural language processing technologies

  • llm-ui

    A React library for building LLM UIs

  • Wordware

    A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. We approach prompting as a new programming language rather than low/no-code blocks

  • Wallaroo.AI

    Deploy, manage, optimize any model at scale across any environment from cloud to edge. Let's you go from python notebook to inferencing in minutes

  • Dify

    An open-source LLM app development platform with an intuitive interface that streamlines AI workflows, model management, and production deployment

  • LazyLLM

    An open-source LLM app for building multi-agent LLMs applications in an easy and lazy way, supports model deployment and fine-tuning

  • MemFree

    Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs. Support One-Click Deployment

  • unslothai

    A framework that specializes in efficient fine-tuning. On its GitHub page, you can find ready-to-use fine-tuning templates for various LLMs, allowing you to easily train your own data for free on the Google Colab cloud

  • AutoRAG

    Open source AutoML tool for RAG. Optimize the RAG answer quality automatically. From generation evaluation datset to deploying optimized RAG pipeline

LLM Tutorials and Courses

LLM Books

Great thoughts about LLM

Miscellaneous

  • Arize-Phoenix

    Open-source tool for ML observability that runs in your notebook environment. Monitor and fine tune LLM, CV and Tabular Models

  • Emergent Mind

    The latest AI news, curated & explained by GPT-4

  • ShareGPT

    Share your wildest ChatGPT conversations with one click

  • Cohere Summarize Beta

    Introducing Cohere Summarize Beta: A New Endpoint for Text Summarization

  • chatgpt-wrapper

    ChatGPT Wrapper is an open-source unofficial Python API and CLI that lets you interact with ChatGPT

  • Open-evals

    A framework extend openai's for different language model

  • Cursor

    Write, edit, and chat about your code with a powerful AI

  • AutoGPT

    an experimental open-source application showcasing the capabilities of the GPT-4 language model

  • OpenAGI

    When LLM Meets Domain Experts

  • EasyEdit

    An easy-to-use framework to edit large language models

  • chatgpt-shroud

    A Chrome extension for OpenAI's ChatGPT, enhancing user privacy by enabling easy hiding and unhiding of chat history. Ideal for privacy during screen shares

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